World State-dependent Action Graph: A Representation of Action Possibility and Its Variations in Real Space based on World State

Yosuke Kawasaki, Masaki Takahashi

2022

Abstract

For intelligent systems, it is important to understand the action possibility for agent in real space. As the action possibility varies with the subsystem configuration of the agent and its states, the possibilities should be understood based on the world state comprising the agent’s state as well as the environmental state. However, most conventional methods consider only the environmental state. Therefore, this study proposes a world state-dependent action graph based on knowledge representation using scene graphs which allows the capturing of the action possibility of agents, which implies the feasible actions and their positions in real space, and their recursive variations depending on the world state. Moreover, the effectiveness of the proposed method was verified with simulations, assuming a coffee shop environment.

Paper Citation

in Harvard Style

Kawasaki Y. and Takahashi M. (2022). World State-dependent Action Graph: A Representation of Action Possibility and Its Variations in Real Space based on World State. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-585-2, pages 459-466. DOI: 10.5220/0011298000003271

in Bibtex Style

@conference{icinco22,
author={Yosuke Kawasaki and Masaki Takahashi},
title={World State-dependent Action Graph: A Representation of Action Possibility and Its Variations in Real Space based on World State},
booktitle={Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2022},
pages={459-466},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011298000003271},
isbn={978-989-758-585-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - World State-dependent Action Graph: A Representation of Action Possibility and Its Variations in Real Space based on World State
SN - 978-989-758-585-2
AU - Kawasaki Y.
AU - Takahashi M.
PY - 2022
SP - 459
EP - 466
DO - 10.5220/0011298000003271